| from optimum.intel.openvino import OVModelForQuestionAnswering | |
| from transformers import AutoTokenizer, pipeline | |
| # model_id should be set to either a local directory or a model available on the HuggingFace hub. | |
| model_id = "helenai/deepset-xlm-roberta-base-squad2-ov" | |
| tokenizer = AutoTokenizer.from_pretrained(model_id) | |
| model = OVModelForQuestionAnswering.from_pretrained(model_id) | |
| pipe = pipeline("question-answering", model=model, tokenizer=tokenizer) | |
| result = pipe("What is OpenVINO?", "OpenVINO is a framework that accelerates deep learning inferencing") | |
| print(result) | |